Tuesday, October 7, 2025
Staff Engineer - Computer Vision and Robotics
Skyline Nav AI
Location
Boston, MA
Job Type
Full-Time

Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's/PhD's) who are passionate about computer vision, drones, robotics and AI to join our team.

As a Staff Engineer, you will be responsible for developing and productionizing computer vision algorithms and machine learning models to help our technology achieve high-accuracy visual navigation. This includes developing new algorithms, as well as optimizing existing methods for real-time use on edge-devices such as aerial and ground robots, and building the next generation of robotics platforms.

Requirements:

1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance

2. B.S./M.S./Ph.D. degree in Computer Science, Electrical Engineering, Mechanical Engineering or related field

3. Strong programming skills in Python and C++

4. Proficient working with computer vision and machine learning concepts

5. Ability to work in fast-paced dynamic scale-up environment

6. Ability to demo progress of next generation robotics platforms in-person on a weekly basis in Massachusetts

Preferred:

- Experience with visual navigation or similar technologies

- Knowledge of drones and autonomous vehicle systems

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

Apply
Monday, October 6, 2025
Senior Research Scientist – Applied AI Team
Balyasny
Location
Various
Job Type
Full-Time

The Applied AI team at Balyasny Asset Management is at the forefront of transforming how investment professionals interact with artificial intelligence. We've built a comprehensive suite of AI-powered tools including custom assistants with deep research capabilities connected to hundreds of tools. Now we’re developing reasoning models for finance and evolving our platform to a true collaborative AI workspace where agents function as intelligent team members.

Role Overview

We are seeking a Research Scientist or Senior Research Scientist to join our Applied AI team in building the next generation of AI-powered investment tools. You will work on cutting-edge research projects that directly impact how portfolio managers, analysts, and researchers leverage AI in their daily workflows. This role requires a strong background in machine learning, and a passion for seeing your research deployed to thousands of users in production. 

What sets this opportunity apart is the unparalleled environment for advancing the frontier of human + AI performance in investing. At BAM, you’ll have access to the richest possible ecosystem: comprehensive data from every major vendor and proprietary sources, the most advanced models from across the industry, scalable compute, and exposure to a deep roster of world-class investment teams. This unique combination allows you to rigorously assess, compare, and push the boundaries of what AI can achieve alongside some of the most sophisticated human investors in the world.

The ideal candidate will have a PhD in a relevant field, a strong publication record, and a demonstrated ability to translate advanced research into practical, scalable solutions. 

Key Responsibilities

  • Conduct original research in machine learning, with a focus on reinforcement learning, agent architectures, and large language models
  • Prototype, develop, and help deploy new ML models and algorithms that power BAM’s AI capabilities
  • Collaborate with engineers to integrate research outputs into production systems used by portfolio managers, analysts, and researchers
  • Design experiments and analyze results to evaluate the effectiveness of new models and approaches
  • Work closely with end-users to understand their needs and ensure research is aligned with practical, high-impact applications
  • Contribute to the broader research community through publications, presentations, and open-source contributions as appropriate
  • Mentor junior researchers and contribute to technical direction and strategy
  • Participate in the full research lifecycle from ideation and literature review through deployment and monitoring

Minimum Qualifications

  • PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field
  • Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
  • Deep expertise in machine learning, with a focus on natural language processing (NLP), reinforcement learning (RL) or related areas
  • Experience developing and evaluating ML models in Python (PyTorch)
  • Demonstrated ability to translate research into practical, scalable solutions
  • Strong programming skills and familiarity with modern software engineering practices

Preferred Qualifications

  • Experience deploying ML models in production environments with real users
  • Knowledge of financial markets and investment workflows
  • Experience with cloud platforms (AWS preferred)
  • Familiarity with vector databases, semantic search, or information retrieval systems
  • Strong communication skills and ability to work with highly sophisticated end-users

The Applied AI team at Balyasny Asset Management is at the forefront of transforming how investment professionals interact with artificial intelligence. We've built a comprehensive suite of AI-powered tools including custom assistants with deep research capabilities connected to hundreds of tools. Now we’re developing reasoning models for finance and evolving our platform to a true collaborative AI workspace where agents function as intelligent team members. 

 

Role Overview 

We are seeking a Research Scientist or Senior Research Scientist to join our Applied AI team in building the next generation of AI-powered investment tools. You will work on cutting-edge research projects that directly impact how portfolio managers, analysts, and researchers leverage AI in their daily workflows. This role requires a strong background in machine learning, and a passion for seeing your research deployed to thousands of users in production.  

 

What sets this opportunity apart is the unparalleled environment for advancing the frontier of human + AI performance in investing. At BAM, you’ll have access to the richest possible ecosystem: comprehensive data from every major vendor and proprietary sources, the most advanced models from across the industry, scalable compute, and exposure to a deep roster of world-class investment teams. This unique combination allows you to rigorously assess, compare, and push the boundaries of what AI can achieve alongside some of the most sophisticated human investors in the world. 

The ideal candidate will have a PhD in a relevant field, a strong publication record, and a demonstrated ability to translate advanced research into practical, scalable solutions.  

 

Key Responsibilities 

  • Conduct original research in machine learning, with a focus on reinforcement learning, agent architectures, and large language models 
  • Prototype, develop, and help deploy new ML models and algorithms that power BAM’s AI capabilities 
  • Collaborate with engineers to integrate research outputs into production systems used by portfolio managers, analysts, and researchers 
  • Design experiments and analyze results to evaluate the effectiveness of new models and approaches 
  • Work closely with end-users to understand their needs and ensure research is aligned with practical, high-impact applications 
  • Contribute to the broader research community through publications, presentations, and open-source contributions as appropriate 
  • Mentor junior researchers and contribute to technical direction and strategy 
  • Participate in the full research lifecycle from ideation and literature review through deployment and monitoring 

 

Minimum Qualifications 

  • PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field 
  • Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) 
  • Deep expertise in machine learning, with a focus on natural language processing (NLP), reinforcement learning (RL) or related areas
  • Experience developing and evaluating ML models in Python (PyTorch) 
  • Demonstrated ability to translate research into practical, scalable solutions 
  • Strong programming skills and familiarity with modern software engineering practices 

Preferred Qualifications 

  • Experience deploying ML models in production environments with real users 
  • Knowledge of financial markets and investment workflows 
  • Experience with cloud platforms (AWS preferred) 
  • Familiarity with vector databases, semantic search, or information retrieval systems 
  • Strong communication skills and ability to work with highly sophisticated end-users 
The Applied AI team at Balyasny Asset Management is at the forefront of transforming how investment professionals interact with artificial intelligence. We've built a comprehensive suite of AI-powered tools including custom assistants with deep research capabilities connected to hundreds of tools. Now we’re developing reasoning models for finance and evolving our platform to a true collaborative AI workspace where agents function as intelligent team members.

 

Role Overview

We are seeking a Research Scientist or Senior Research Scientist to join our Applied AI team in building the next generation of AI-powered investment tools. You will work on cutting-edge research projects that directly impact how portfolio managers, analysts, and researchers leverage AI in their daily workflows. This role requires a strong background in machine learning, and a passion for seeing your research deployed to thousands of users in production.  

 

What sets this opportunity apart is the unparalleled environment for advancing the frontier of human + AI performance in investing. At BAM, you’ll have access to the richest possible ecosystem: comprehensive data from every major vendor and proprietary sources, the most advanced models from across the industry, scalable compute, and exposure to a deep roster of world-class investment teams. This unique combination allows you to rigorously assess, compare, and push the boundaries of what AI can achieve alongside some of the most sophisticated human investors in the world.

The ideal candidate will have a PhD in a relevant field, a strong publication record, and a demonstrated ability to translate advanced research into practical, scalable solutions.  

 

Key Responsibilities

   Conduct original research in machine learning, with a focus on reinforcement learning, agent architectures, and large language models 
   Prototype, develop, and help deploy new ML models and algorithms that power BAM’s AI capabilities 
   Collaborate with engineers to integrate research outputs into production systems used by portfolio managers, analysts, and researchers 
   Design experiments and analyze results to evaluate the effectiveness of new models and approaches 
   Work closely with end-users to understand their needs and ensure research is aligned with practical, high-impact applications 
   Contribute to the broader research community through publications, presentations, and open-source contributions as appropriate 
   Mentor junior researchers and contribute to technical direction and strategy 
   Participate in the full research lifecycle from ideation and literature review through deployment and monitoring

 

Minimum Qualifications

   PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field 
   Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) 
   Deep expertise in machine learning, with a focus on natural language processing (NLP), reinforcement learning (RL) or related areas
   Experience developing and evaluating ML models in Python (PyTorch) 
   Demonstrated ability to translate research into practical, scalable solutions 
   Strong programming skills and familiarity with modern software engineering practices

Preferred Qualifications

   Experience deploying ML models in production environments with real users 
   Knowledge of financial markets and investment workflows 
   Experience with cloud platforms (AWS preferred) 
   Familiarity with vector databases, semantic search, or information retrieval systems 
   Strong communication skills and ability to work with highly sophisticated end-users 

Apply
Friday, September 26, 2025
Quantum Hardware & Physics Specialist
Alice & Bob
Location
Boston, MA
Job Type
Full-Time
Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
We are at the forefront of the quantum race, competing with tech giants such as Google or IBM, and we are growing fast after securing  €100 million of funding in 2025 to develop our unique technology.
Currently 100+ and counting, between physicists, PhD students, engineers and experienced business professionals, we are united to reach our ambitious goal. Are you a quantum pioneer? Join us on a mission to reshape the future!
 
About the Role:
Alice & Bob is transitioning from a cutting-edge research lab to a product-focused quantum computing company. As part of this transformation, we’re creating Quantum HPC, a new team bridging technical expertise and customer engagement.
We’re looking for a Quantum Hardware & Physics Specialist to join this team. You will play a key role in technical conversations with HPC centers, our natural early adopters and help shape how our superconducting “cat qubits” are understood, integrated, and used.

Responsibilities:

  • Lead technical meetings with HPC clients and partners
  • Present our core technology: superconducting cat qubits, roadmap to FTQC, integration challenges
  • Convey complex scientific ideas and the vision of Alice & Bob to technical and non-technical audience in a clear and accessible manner (in talks, hackathons, workshops, meetings…)
  • Prepare high-quality technical content: briefs, diagrams, comparison tools, slides
  • Contribute to internal work on machine development in accordance with your expertise: experiments, theory, specifications, cryogenics, RF, hardware/software stack…
  • Interact with customers as a scientific expert
  • Help align our internal tech development with real-world constraints and needs

Requirements:

  • PhD or MSc in quantum physics, superconducting circuits, or similar field, with 3 years of experience
  • Comfortable navigating between lab-level details and real-world applications
  • Excellent communication skills with both technical and non-technical audiences. Experience with customer-facing role (US and Europe).
  • (Bonus) Familiarity with HPC environments, cryogenics, or RF systems
  • Curious, proactive, and eager to build something meaningful in the quantum space
  • Fluent in professional English, both written and spoken.

Benefits:

  • Our success is your success : own it with our BSPCE plan
  • Turn your ideas into patents – and (competitive) patent bonuses
  • Healthcare: (Health, vision, dental insurance)
  • 401k - Retirement plan
  • Training budget for each employee
  • Parental leave & parental plan
  • PTO: 20 days + 11 federal days
  • Unlimited unpaid jury duty + time to protest or vote

 

  • Screening Call with Doriane (30 min)
  • Hiring Manager Interview (45 min)
  • Technical Interview with the Team (60 min)
  • Leadership/Fit Interview (45 min)
Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.
 
You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!
 
We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.
Apply
Tuesday, September 23, 2025
Founding Senior Engineer (AI / ML) at Elayne (S24) -- A CEO Connection Company
CEO Connection
Location
New York, NY
Job Type
Full-Time
About Elayne

Elayne helps families organize their assets, estate documents, and key contacts in one place, then guides them through life transitions as circumstances and priorities evolve. Like getting married, moving, having a baby, or losing a parent. Unlike traditional wealth management tools or online estate platforms that produce static legal documents, Elayne is dynamic, intelligent, and built not just to delight, but to comfort and guide you when it matters most.

I started Elayne after my mom passed away and I had to settle her estate, accounts, and affairs - essentially, I suddenly had to untangle all the details of her life. It was shocking how fragmented and opaque the process was and how I spent hundreds of hours chasing documents, coordinating accounts, filling legal gaps, and navigating unfamiliar systems, all while grieving and working full time. It shouldn’t be that way.

In the future, you could hire an attorney, download DIY legal forms, fax and mail physical documents, sync 10 different fintech apps, use a financial planner, spend thousands in fees, and hope it all holds together. Or, you could just use Elayne.

Backed by major investors like Y Combinator and Accel, we are now a 6 person team based in NYC.

About the role

About the Role

Elayne is an Applied AI company reimagining how families organize, protect, and transfer their estates, from financial accounts and legal documents to digital assets and end-of-life wishes. We combine structured data, custom AI agents, and guided UX to make estate optimization and post-loss settlement fast, clear, and dignified.

We integrate with banks, insurance providers, legal systems, and data aggregators to create a real-time, intelligent view of an individual or family’s estate. Then we proactively adapt to life events (like having a child or losing a parent), and automate complex legal-financial workflows that typically take families years to finish.

We’re an Accel and YC-backed seed stage company, launched last year and we’re operating in a manual $260B TAM, with over $80T in assets expected to transfer in the coming decades. This is a greenfield market for AI, and we intend to define the category.

Your Mission:

As the Founding Senior Engineer (AI/ML), you’ll build production-grade AI systems that are technically rigorous, reliable, and scalable. 

Working closely with the founding team, you’ll design and implement LLM-based features using RAG, vector search, and multi-step agent workflows to address challenges like entity resolution, document classification, and contextual memory management. 

You’ll play a key role in developing core infrastructure for prompt orchestration, embedding pipelines, and real-time inference, while optimizing for latency, cost, trust, and personalized outcomes.

Your work will shape how millions of families navigate one of life’s most difficult transitions: losing a loved one. In this senior role, you’ll have the autonomy to move quickly, prototype novel architectures, and translate complex ML systems into intuitive, deeply human experiences.

What We’re Looking For:

  • Builder’s mindset: you move fast, take full ownership, write reliable systems, and are obsessed with solving real problems
  • 4+ years of engineering experience shipping production-grade AI features or infrastructure
  • Strong Python and AI/ML background, with experience building agentic or RAG-based systems using LangChain, vector DBs, and evaluation frameworks
  • Skilled in building scalable full-stack solutions using TypeScript, NestJS, PostgreSQL, AWS and modern data tools
  • Thrive in ambiguity, urgency, and rapid iteration - ideally you’ve been part of a high intensity seed stage startup before (we work long hours, but have a lot of fun together)
  • Based in NYC and excited to work in-person at our NoMad HQ

What You’ll Do:

  • Design and build AI-native product features like document parsing, task checklists, and smart suggestions
  • Integrate models (OpenAI, Anthropic, OSS) into workflows using LangChain, custom pipelines, or purpose-built flows
  • Collaborate with the founding team on technical scoping, architecture, and infrastructure decisions
  • Contribute to embedding strategies, feedback loops, and prompt tuning frameworks
  • Define and implement evaluation frameworks to measure output quality, user trust, latency, and model performance
  • Stay on the frontier of AI tooling and infrastructure and bring practical innovations into production

Current stack: React, TypeScript, NestJS, PostgreSQL, Redis, AWS, OpenAI, Auth0. You don’t need to know everything, but we value engineers who learn fast and aren’t afraid to jump in

Upcoming challenges include building memory across sessions, reliable summarization pipelines, and intelligent fallback mechanisms for partially structured data.

We’ll be a great fit if you’re looking for:

  • A rare chance to build an iconic company with actual human impact; not just another AI CRM or dev tool
  • An opportunity to grow into a technical leader, mentor others, and set the technical and ethical foundations for how AI guides financial and legal decisions
  • YC, Accel, and mission-aligned investors backing a product with massive, untapped demand

Compensation:

Salary range $160k–$250k, depending on experience and qualifications

Meaningful equity package is included; final composition will be determined by level, scope, relevant experience, and cash vs equity preference. Benefits/PTO included. 

Additional detail

Apply
Tuesday, September 23, 2025
Head of Engineering / CTO at Elayne (S24) -- A CEO Connection Company
CEO Connection
Location
New York, NY
Job Type
Full-Time
About Elayne

Elayne helps families organize their assets, estate documents, and key contacts in one place, then guides them through life transitions as circumstances and priorities evolve. Like getting married, moving, having a baby, or losing a parent. Unlike traditional wealth management tools or online estate platforms that produce static legal documents, Elayne is dynamic, intelligent, and built not just to delight, but to comfort and guide you when it matters most.

I started Elayne after my mom passed away and I had to settle her estate, accounts, and affairs - essentially, I suddenly had to untangle all the details of her life. It was shocking how fragmented and opaque the process was and how I spent hundreds of hours chasing documents, coordinating accounts, filling legal gaps, and navigating unfamiliar systems, all while grieving and working full time. It shouldn’t be that way.

In the future, you could hire an attorney, download DIY legal forms, fax and mail physical documents, sync 10 different fintech apps, use a financial planner, spend thousands in fees, and hope it all holds together. Or, you could just use Elayne.

Backed by major investors like Y Combinator and Accel, we are now a 6 person team based in NYC.

About the role

About the Role:

Elayne is an Applied AI company reimagining how families organize, protect, and transfer their estates, from financial accounts and legal documents to digital assets and end-of-life wishes. We combine structured data, custom AI agents, and guided UX to make estate optimization and post-loss settlement fast, clear, and dignified.

We integrate with banks, insurance providers, legal systems, and data aggregators to create a real-time, intelligent view of an individual or family’s estate. Then we proactively adapt to life events (like having a child or losing a parent), and automate complex legal-financial workflows that typically take families years to finish.

We’re an Accel and YC-backed seed stage company, launched last year and we’re operating in a manual $260B TAM, with over $80T in assets expected to transfer in the coming decades. This is a greenfield market for AI, and we intend to define the category.

Your Mission:

As our Head of Engineering / CTO, you’ll own the architecture and execution of Elayne’s AI platform, spanning data ingestion, LLM-driven agents, and high-trust infrastructure. You'll move fast with the founding team to ship scalable, production-grade systems in a deeply complex and emotionally important domain.

You’ll lead technical strategy, scale the team, and be hands-on across system design, model integration, and rapid iteration. Your work will touch every surface area: product intelligence, retrieval, automation, and performance.

Most critically, your impact will be foundational. You’ll drive product evolution, enable customer success, and accelerate our path to becoming the trusted platform in this massive, untapped market.

What We’re Looking For:

  • Builder’s mindset: you move fast, take full ownership, and are obsessed with solving real problems
  • 8+ years of engineering experience: of which 2+ in technical leadership (Head of Eng, CTO, Staff+). If you come in as Head of Engineering, goal is for you to grow to CTO
  • Deep technical fluency in LLM workflows, backend systems, and AI infrastructure
  • Strong experience with production AI systems: agents, RAG, prompt tuning, evaluation frameworks
  • Skilled in building scalable full-stack solutions using TypeScript, NestJS, PostgreSQL, AWS and modern data tools.
  • Thrive in ambiguity, urgency, and rapid iteration - ideally you’ve been part of a high intensity seed stage startup before (we work long hours, but have a lot of fun together)
  • Based in NYC and excited to work in-person at our NoMad HQ

What You’ll Do:

  • Lead and scale a world-class engineering team: recruiting, mentoring, and building the systems that drive excellence and growth
  • Own technical strategy and execution: from infra and architecture to AI systems, model eval, and product performance
  • Design and scale production-grade AI features:
    • Architect and optimize RAG pipelines, LLM tool-use, and multi-step agent workflows
    • Implement memory/state strategies for long-lived agent sessions
    • Build LLM flows using LangChain or custom-built frameworks.
    • Integrate vector stores, embedding pipelines, and external APIs
  • Lead prompt and model optimization efforts:
    • Build and test modular prompt frameworks
    • Drive model selection (OpenAI, Anthropic, OSS) and evaluation
    • Track latency, quality, hallucinations, and cost across use cases
  • Own ML/AI infra and observability:
    • Deploy models across scalable infrastructure (AWS, serverless, GPU-optimized)
    • Define supervised feedback loops and retraining strategies
    • Monitor hallucination, trust, and LLM safety metrics

Current stack: React, TypeScript, NestJS, PostgreSQL, Redis, AWS, OpenAI, Auth0. Always iterating; stack decisions are grounded in performance, reliability, and developer velocity

We’ll be a great fit if you’re looking for:

  • A rare chance to build an iconic company with actual human impact; not just another AI CRM or dev tool
  • Full ownership of technical roadmap, team member development, culture, and growth
  • YC, Accel, and mission-aligned investors backing a product with massive, untapped demand

Compensation:

Salary range $220k–$350k, depending on experience and qualifications

Meaningful equity package is included; final composition will be determined by level, scope, relevant experience, and cash vs equity preference. Benefits/PTO included. 

Additional detail.

Interview Process
  • Intro screen
  • Skills Deep Dive
  • Platform Access / Take home activity
  • Technical Interview w/ CTO of top YC company (senior advisor to Elayne)
  • Meet in person
  • Reference calls
 
Apply
Tuesday, September 16, 2025
Founding Engineer
Systalyze
Location
Boston, MA
Job Type
Full-Time

Systalyze is a rapidly growing startup building scalable systems for AI workloads. Built by a team of CSAIL faculty and alumni, we’re developing a foundational system to enable AI innovation at scale — the kind of system every modern AI breakthrough depends on.

The impact is already clear: in our Google Cloud partnership, Systalyze crushed the state of the art, delivering 90% efficiency gains in large-scale AI workflows. Fortune 500 enterprises are already deploying Systalyze, and demand is accelerating at a remarkable pace.

We’re now looking for our next Founding Engineer to join the team. This opportunity is rare: you’ll have the chance to build ML systems for real-world business applications with significant autonomy in a lean but exceptionally high-caliber environment.

We’ll be at the MIT Career Fair on Friday, September 19, at the Johnson Athletic Center, Booth #1002. Come say hi and hear about the groundbreaking systems we’re building.

We’re hiring across Full-Stack, Infrastructure, Systems, Performance Engineering, and AI/ML (Summer and IAP interns welcome too!). 

If you want to be part of the founding team of a startup that’s reshaping how enterprises run AI, we’d love to connect.

👉 mit-careers@systalyze.com

Apply
Monday, September 15, 2025
Full Stack Engineer
Blue Sarah
Location
Remote or Boston, MA
Job Type
Full-Time

About Us: Blue Sarah is agentic shopping. Our goal is to reinvent the modern shopping experience. We are looking for collaborative self-starters to join our dynamic team to design engaging and intuitive software.  

 

Job Title: Full Stack Engineer  

Location: We absolutely allow remote, but we would love to have you join us at our Boston/Somerville HQ  

 

Responsibilities include: 

•    Scalable architecture design 

•    Asynchronous task orchestration 

•    Message queues 

•    API development

 •    Security and authentication 

•    Frontend performance optimization 

•    Caching strategies 

•    Database optimization 

•    Test development 

•    Observability 

•    Providing technical leadership for the team

 

Skills:
•    Entrepreneurial mindset 

•    Linux 

•    Javascript/Typescript, React 

•    Python

•    Swift 

•    Kotlin 

•    Git 

•    PostgreSQL, pgvector 

•    Cassandra 

•    Redis 

•    Nginx 

•    Cloud infrastructure 

•    Cl/CD

 •    Browser automation

 

Competitive compensation and benefits package, including healthcare and generous vacation package. 

Apply
Monday, September 15, 2025
UX/UI Developer
Blue Sarah
Location
Remote or Boston, MA
Job Type
Full-Time

Website: https://www.bluesarah.ai/  

Linkedln: bttps://www.Hnkedin,com/company/blue-sarab-ioc/
POC: careers@bluesarah.com 

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company? Are you a Data Scientist looking to build the foundations of a modern Al application?  About Us: Blue Sarah is agentic shopping. Our goal is to reinvent the modern shopping experience. We are looking for collaborative self-starters to join our dynamic team to design engaging and intuitive software.  

 

Role Overview: As a UX/UI Designer at Blue Sarah, you will be responsible for creating 
user-centered designs for our web and mobile applications. You will collaborate mostly with our CRO and CTO to produce experience and interface design that is intuitive to use, visually delightful, and interfaces with our backend to meet user needs and business goals. The ideal candidate has passion for communication through design, and loves the concept of Blue Sarah. 

 

Key Responsibilities: 

•    User Research & Analysis:
Conduct user research and gather insights and validate design decisions. Analyze user needs, behaviors, and pain points to inform design solutions. 

•    Design & Prototyping:
Create wireframes, prototypes, and designs for web and mobile applications. Develop user flows, journey maps, and other design artifacts to communicate design concepts effectively. Design delightful, beautiful, easy to understand, and responsive interfaces for mobile and web applications. 

•    Implementation
Write code that accurately implements designs across browsers and platforms. Work with frontend and backend developers to ensure stability and performance. Use browser automation to test functionality throughout development. 

•    Collaboration & Communication:
Work closely with our CTO and Product development team to understand project requirements and constraints. Work with developers to ensure the accurate implementation of design specifications. Present and articulate design decisions, rationale, and trade-offs to team members and other stakeholders. 

•    Continuous Improvement:
Run usability testing to iterate on designs based on user feedback and analytics to enhance user satisfaction and engagement. Stay up-to-date with industry trends, tools, and best practices to continuously improve design processes and outcomes.

 

Skills: 
•    Proficiency in design tools such as Adobe Creative Suite, Sketch, Figma. 

•    Strong understanding of user-centered design principles and methodologies. 

•    Experience with responsive design and mobile-first design strategies. 

•    HTML, CSS, JavaScript, Typescript, Swift, Katlin.

 

Softskills:

•    Strong entrepreneurial spirit. 

•    Excellent problem-solving skills and attention to detail. 

•    Strong communication and presentation skills. 

•    Ability to work collaboratively in a fast-paced environment. 

•    Passion for our business and creating exceptional user experiences with an eye for clean and impressive visual design.

 

Competitive compensation and benefits package, including healthcare and generous vacation package. 

Apply
Monday, September 15, 2025
Senior Data Analyst
Blue Sarah
Location
Remote or Boston, MA
Job Type
Full-Time

Website: https://www.bluesarah.ai/ 
Linkedln: https://www.linkedin.com/company/blue-sarah-inc/ 


POC: careers@bluesarah.com  

 

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company? Are you a Data Scientist looking to build the foundations of a modern Al application?  About Us: Blue Sarah is agentic shopping. Our goal is to reinvent the modern shopping experience. We are looking for collaborative self-starters to join our dynamic team to design engaging and intuitive software.  

 

Job Title: Senior Data Scientist  

Location: We absolutely allow remote, but we would love to have you join us at our Boston/Somerville HQ  

Responsibilities include: 

•    Developing full data pipelines for production systems 

•    Automating data validation 

•    LLM fine-tuning 

•    Optimizing semantic embeddings 

•    Clustering high-dimensional sparse data 

•    Building recommendation systems 

•    Creating visualizations to understand how models are working 

•    Model performance monitoring 

•    Tuning the tradeoffs between model speed and accuracy to meet user experience goals 

•    Proposing solutions and strategies for business challenges 

•    Collaborating with the business and engineering teams to deliver scalable
consumer-facing implementations

 

Skills:

•    Entrepreneurial mindset 

•    Python 

•    SQL 

•    Machine Learning 

•    Statistics 

•    Data visualization

 •    Familiarity with software development

 •    Excellent communication skills

 •    Degree in Computer Science, Engineering, Physics, Math or other relevant field is preferred

 

Competitive compensation and benefits package, including healthcare and generous vacation package. 

Apply
Wednesday, August 20, 2025
Research Scientist - kausable GmbH (an LDVP portfolio company)
LDVP
Location
Hybrid
Job Type
Full-Time

🟧 At kausable, we're pioneering a reasoning-first approach to AI, developing a foundation that's fundamentally different from Large Language Models. While today's models rely heavily on pattern matching and massive pre-training, we're focussing on logical reasoning and adaptability.

We are creating agentic AI that

  • learns in-context from just a few examples,
  • opens up whole new domains and skills without retraining,
  • generalizes across tasks and modalities.

If you're an experienced researcher, smart, creative, and inspiring – you'll fit right in!

---

🏭 Our Company

We just raised a large funding round with investors from Black Forest Labs (a pioneer in visual generation), tech experts, and a strong network of advisors and supporters.

Tasks

🔬 Our research and development currently revolves around generating synthetic world data, training and validating deep-learning models, creating and facilitating capable embedders for various domains and modalities. You'll have the opportunity to

  • design and scale deep neural networks pre-trained on synthetic data for active learning and dynamic task solving,
  • develop new model architectures and datasets for real-world reasoning,
  • extend synthetic-data pipelines and evaluate across tasks and modalities,
  • collaborate on open-source initiatives and contribute to research publications.

Requirements

👀 We're looking for research scientists with a strong background in one or more of these topics:

  • Active Learning
  • Meta-Learning
  • Causality
  • Modelling of complex and evolving systems
  • Reinforcement Learning
  • Bayesian Learning, Bayesian Optimization

Our recommended qualifications are:

  • A PhD in ML, Physics, or equivalent - or MSc with exceptional experience
  • A strong grasp of causality, meta-learning, PFNs, and active inference
  • The ability to work independently and think from first principles
  • Hands-on experience with modern ML tooling and research workflows
  • An outcome-oriented mindset

Additional nice-to-haves you might bring:

  • Publications in NeurIPS, ICML, ICLR, ECCV/ICCV, or similar
  • Experience with graph-based models or synthetic data generation
  • Open-source contributions

Benefits

🫂 Our Culture

We are “Putting Science at the Core of AI.” – with all its curiosity, daringness, and humanity. That means, we

  • are scientists at heart, with a builder’s mindset,
  • are open to challenge, grounded in curiosity and respect,
  • welcome diverse perspectives and value thoughtful as well as open debate,
  • focus on outcomes and real-world impact,
  • create and foster an environment of support, inspiration, and freedom for everyone to do their best work.

🏆 Perks & Benefits

  • Competitive salary + equity
  • Social insurances (statutory health, pension, etc.)
  • Conference travel
  • Flexible working hours with work-from-home options
  • Pragmatic and supportive coworkers

⚒️ Tools and Infrastructure

  • Python, PyTorch, PyTorch Lightning
  • Weights and Biases
  • Docker
  • RunPod
  • AWS
  • A high-end laptop of your choice

🫶 Sounds like it's for you?

-> ☕ Send us your favorite way to drink coffee along with your CV or LinkedIn! We'll get back to you soon.

If it's a match, we'll get to know each other in one to three casual interviews.

Apply
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